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authorShinya Sato <shinnya.sato@gmail.com>2022-04-16 21:49:20 +0900
committerShinya Sato <shinnya.sato@gmail.com>2022-04-16 21:49:20 +0900
commit4508b877a0312ff0feeba6287e1224ed3d0e0a4a (patch)
tree1b3c0eca15dcd5b6ee7e6f2cba888b5073e5ebf6
parent886e2f63ee0c95530f4f0727b7ae0f9a0d909e9e (diff)
parenta436d5f03be557ac0a2ea1e4c3d08f5107a5ecbe (diff)
downloadinpla-4508b877a0312ff0feeba6287e1224ed3d0e0a4a.tar.gz
inpla-4508b877a0312ff0feeba6287e1224ed3d0e0a4a.zip
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@@ -23,7 +23,7 @@ Inpla is a multi-threaded parallel interpreter of interaction nets. Once you wri
- The above table contains execution time in second on average of ten times execution by using Linux PC (Core i7-9700 (8 threads, no Hyper-threading), 16GB memory). The fastest one is shown with bold style. Scripts for the comparison table are in the `comparison` directory.
- - Inpla8 and Inpla8r mean 8 threads without/with reuse-annotated execution, respectively.
+ - Inpla8 and Inpla8r mean 8 threads without/with [reuse-annotated](#Reuse-annotations) execution, respectively.
- "ack(3,11)" is computation of Ackermann function. Execution time of Python is a blank due to stack size limitation error.